Scale Independent Tracking Pattern for Motion Capture
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Solution Overview
Problem
Conventional motion capture systems face challenges in tracking objects at varying distances, resolutions, focus values, and with motion blur, limiting flexibility in camera and actor placement, and the ability to track objects while they move or navigate.
Innovation Solution
Implementing a scale-independent pattern on a dynamic object, such as a bodysuit, that can be tracked across a range of resolutions, including fractal or pseudo-random noise patterns, allowing for detection and identification at different camera-object distances, focus values, and with motion blur, using computer vision techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional motion capture systems use fixed resolution tracking, then tracking precision is maintained at specific distances, but tracking reliability deteriorates when object distance varies
Solution Approach 1:
The system dynamically adapts the tracking resolution based on the detected distance to the target object. When the object is far from the camera, the system uses lower resolution tracking to maintain reliable detection, while switching to higher resolution tracking when the object is closer, thus maintaining both precision and reliability across varying distances
Solution Approach 2:
The invention changes the resolution parameter of the tracking pattern based on distance conditions. By modifying the resolution parameter dynamically, the system optimizes tracking performance for different shooting scenarios, ensuring reliable tracking whether the object is near or far from the camera
2Measurement precision
If motion capture systems use high resolution tracking, then tracking precision is improved, but system complexity increases
Solution Approach 1:
Instead of using high resolution tracking for the entire scene, the system applies high resolution tracking only to the specific region containing the target object, while using lower resolution for the rest of the scene. This partial application of high resolution tracking maintains precision where needed while reducing overall system complexity
Solution Approach 2:
The tracking system is segmented into multiple resolution levels, with different portions of the image processed at different resolutions. The target object region is processed at high resolution for precise tracking, while other regions use lower resolution, thereby reducing computational complexity while maintaining tracking precision
3Measurement precision
If motion capture systems use fixed focus values, then identification accuracy is maintained for specific distances, but adaptability deteriorates when distance changes
Solution Approach 1:
The system dynamically adjusts the focus value based on the detected distance to the target object. By changing the focus parameter in real-time according to distance variations, the system maintains sharp identification accuracy whether the object is near or far, while adapting to different shooting conditions
Solution Approach 2:
The invention changes the focus parameter based on distance conditions. When the object is at a specific distance, the system adjusts the focus value to optimize identification accuracy for that distance range, thereby maintaining high accuracy across varying distances through parameter adaptation
Data Source
AI summary
In one aspect, a computer implemented method of motion capture, the method includes tracking the motion of a dynamic object bearing a pattern configured such that a first portion of the patterns is tracked at a first resolution and a second portion of the pattern is tracked at a second resolution. The method further includes causing data representing the motion to be stored to a computer readable medium.